SEI Digital Library
Latest Publications
Native AI for MBSE: Lessons Learned and Measures from a Knowledge-Grounded Experimentation Platform
• Conference Paper
The presentation shares insights gained from evaluating frontier AI models on SysML v2 Model-Based Systems Engineering tasks.
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World Building: How 3D Gaussian Splatting is Transforming Digital Twins
• Webcast
In this webcast, Matthew Walsh and Dominic Ross explore one emerging approach—3D Gaussian Splatting (3DGS)—and discuss how organizations can leverage these models for applications such as simulation, training, visualization, autonomous …
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Advancing Cybersecurity: A Framework of Cyber Research Priorities
• Book
This report identifies seven topic areas of operational and research focus that will drive significant improvements across a wide range of missions and systems.
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Why Accuracy Isn’t Enough: A New Quality Model for Real-World ML Components
• Podcast
This podcast presents a new quality model for machine learning components that serves as a guide for requirements elicitation and negotiation.
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Early Lifecycle Cybersecurity Requirements Development Through Threat Modeling
• SEI Report
This report details a threat modeling method for lifecycle cybersecurity risk management, from early design onward, uniting U.S. Air Force and other cybersecurity sources.
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The Key to Software Acquisition Pathway Success—the User Agreement
• Webcast
In this webcast, Brigid O’Hearn, Julie Cohen, and Rita Creel discuss the user agreement and how it is the key to software acquisition pathway success.
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Intro to the SEI CERT Coding Standard for Fortran
• Webcast
In this webcast, David Svoboda and Manuel Arenaz discuss how the SEI CERT Coding Standard for Fortran leverages expertise in secure coding practices and provides well-documented and enforceable coding guidelines …
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The Key to SWP Success: The User Agreement
• Educational Material
This Tactical Guide helps programs develop a user agreement that specifies the level of user representation needed to ensure acquired software meets user needs.
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A Quality Model for Machine Learning Components Quick Reference Guide
• Educational Material
Download a quick reference guide and definitions for the Quality Model for Machine Learning Components.
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Breaking Down Barriers: How LLMs Enable Software Analysis in Classified Environments
• Podcast
This podcast explores the use of LLMs in unclassified environments to rapidly develop tools that accelerate software analysis in classified environments with improved accuracy.
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